This schema markup generator builds valid JSON-LD structured data for 15 schema.org types - Article, Product, LocalBusiness, FAQPage, HowTo, Recipe, Event, JobPosting and more. Pick a type on the left, fill in the fields, and get a ready-to-paste JSON-LD script on the right, checked live against the properties Google and Schema.org expect for that type.
15 Schema Types, One Tool
Article to JobPosting, all in one place
Live Property Checklist
See what's required vs. recommended
100% Browser-Based
Nothing you enter leaves your device
Schema Is One Piece of the Puzzle
Structured data won't fix crawl errors, thin content, or slow pages. A full audit checks everything else holding your rankings back.
Fill in fields on the left to see live JSON-LD and a property checklist here.
JSON-LD Generated Instantly
0 lines
Schema.org Property Checklist
Already Have Schema? Validate It
Paste existing JSON-LD to check its syntax and detected properties
Paste JSON-LD (with or without the <script> tags)
This is a property-presence check against Schema.org/Google-documented properties for the detected type - not a full Rich Results eligibility test. Nothing you paste here is sent anywhere.
Parsed JSON-LD
Property Presence Check
What Is Schema Markup?
Schema markup is code, written in the vocabulary maintained at schema.org, that labels the content on a page in terms search engines can parse unambiguously - not just "this is a paragraph," but "this specific text is a recipe's cook time" or "this number is a product's price." Google, Bing, and Yandex all use it; increasingly, so do AI answer engines like ChatGPT, Perplexity, and Google's AI Overviews, which lean on cleanly labeled facts when they cite or summarize a page. The most common delivery format is JSON-LD - a single block of JSON placed in a <script> tag, separate from the visible page content - which is also the format Google recommends and the only format this tool outputs.
This generator is for anyone who needs correct JSON-LD without memorizing schema.org's nested property structure - developers implementing schema for the first time, SEOs auditing or rebuilding what a site already has, agencies standardizing markup across client sites, and content teams marking up articles, recipes, or FAQs as they publish. It builds the object, checks it against the properties Google and Schema.org document for that type, and hands you a script tag ready to paste.
How to Use the Schema Markup Generator
The tool is split into two parts - your inputs on the left, the live result on the right - plus a separate validator below for schema you already have. Nothing is sent anywhere until you choose to copy or download.
1
Pick a schema type (left side)
Choose from 15 types grouped by category - Content, Business & Entities, Commerce & Listings, and Site Navigation. A short info box explains what the type is for and links to its Schema.org reference.
2
Fill in the fields (left side)
Each field is tagged Required or Recommended based on Google's documentation for that type. Repeatable fields - FAQ pairs, HowTo steps, ingredients, breadcrumb items - have their own Add/Remove controls.
3
Watch the live JSON-LD and checklist (right side)
Every keystroke updates the generated script and the property checklist immediately - no separate "generate" step. The banner at the top turns green once every required property is filled.
4
Stack more than one type, if the page needs it
A single blog post might carry Article, BreadcrumbList, and Organization schema together. Build one type, click Add to Export Stack, switch the type dropdown, and repeat - then view the combined output.
5
Copy or download, then paste it into your page
Copy JSON-LD Script or download it, then paste the full <script type="application/ld+json"> block into your page's <head> or just before </body>.
How the Generator Works
Building the Object
Each schema type maps its fields onto the nested property structure schema.org actually expects - an author becomes a Person or Organization object, an offer becomes its own Offer object with a price and currency, an address becomes a PostalAddress object. Only properties you've actually filled in are included; the generator never writes placeholder or fabricated values into the output, which matters because Google's guidelines treat markup that doesn't match real, visible content as a violation. The whole process is plain JavaScript running in your browser - there's no server round-trip, so the output updates instantly as you type.
Checking the Output
The property checklist cross-references what you've entered against a maintained list of the properties Google's structured data documentation marks required or recommended for that type's rich result, where one exists. For types without a dedicated Google rich-result feature - Person, Service, WebSite - it checks against schema.org's own baseline properties for that type instead, since their value is more about entity clarity for the Knowledge Graph and AI answer engines than a specific SERP feature.
Validating What You Already Have
The Validate section below parses pasted JSON-LD, detects its @type (including common subtypes like NewsArticle or Restaurant), and runs the same kind of property-presence check against it. It's a lint-style check - valid JSON syntax and which documented properties are present - not a full simulation of Google's Rich Results Test, which also considers page-level eligibility and content quality.
What the Property Checklist Results Mean
Each row in the checklist is color-coded by severity:
Green (Present) - the property has a value. No action needed for that row.
Amber (Recommended, missing) - not mandatory, but filling it in produces a more complete rich result where one exists, or a clearer entity description where it doesn't. Not an error.
Red (Required, missing) - Google's documentation treats this as a baseline requirement for the type. Without it, the markup is typically not considered for that type's rich result at all, even though it's still syntactically valid JSON-LD.
Why Schema Markup Matters for SEO
Schema markup's value is real but indirect, and it's worth being precise about which parts are which:
Not a direct ranking factor. Google has said plainly that structured data does not, by itself, move a page up or down in rankings.
An indirect CTR effect. Where it unlocks a rich result - a star rating, a recipe card, a FAQ dropdown - your listing takes up more space and stands out more at the same ranking position, which can lift click-through rate.
A diagnostic and entity signal. Clean, complete schema gives Google - and AI answer engines like ChatGPT, Perplexity, and AI Overviews - an unambiguous read on facts like price, availability, or author, which matters for how confidently they cite or summarize a page. AudEsto's own audit engine scores this under its AEO (answer engine optimization) checks.
A Practical Example
Say you're adding Article schema to a blog post titled "10 Winter Lawn Care Tips for Cold Climates":
InputArticle Type: Blog Post · Headline · a 1200×630 featured image URL · Author Name + Type: Person · Publisher Name + Logo · Date Published
ResultA JSON-LD block with headline, image, a nested author object, a nested publisher object (with a logo ImageObject), and datePublished.
What it meansHeadline and image are both present, so the two required rows turn green. Date Modified is still empty, so it shows amber - not an error, but worth adding once the post is ever updated.
Recommended actionPaste the script into the post's <head>, re-check it in Google's Rich Results Test, and update Date Modified whenever the content meaningfully changes.
Real-World Use Cases
E-commerce store owner - Product schema with price, currency, availability, and (when genuine) an aggregate rating, so listings are eligible for a merchant-style snippet.
Local service business - LocalBusiness schema with a consistent name, address, and phone number, reinforcing the same details shown in the Business Profile and citations.
Publisher or blogger - Article, Organization, and WebSite stacked together and reused site-wide, since all three describe the site itself rather than one page.
Recruiter or HR site - JobPosting schema with datePosted, validThrough, and location, which is what Google for Jobs actually reads to list an opening.
SaaS company - SoftwareApplication schema alongside Organization, describing the product category, operating system, and pricing model.
Agency managing several client sites - a repeatable process for building consistent Organization and LocalBusiness schema across accounts, without hand-writing the nested syntax each time.
Developer auditing a site migration - pasting whatever schema a client's old theme or plugin already output into the Validate section, before deciding whether to keep, fix, or replace it.
Generator vs. Hand-Coding JSON-LD
Where a field-based builder earns its keep over a blank text editor.
Scroll horizontally to view full comparison
Feature
Schema Markup Generator
Hand-Coding From Scratch
Nested property structureAuthor, publisher, offers, address as their own objects
Handled automatically
Manual, error-prone
Required vs. recommended clarityKnowing what Google actually expects per type
Check existing schemaAuditing what a theme or plugin already output
Built-in paste-and-validate
Separate tool needed
Where your data goesField values and pasted schema
Stays in your browser
N/A - no tool involved
Cost
Free
Free (your time)
Common Schema Markup Mistakes to Avoid
Marking up content that isn't visible on the page. Schema must reflect what a visitor can actually see - Google's structured data guidelines call this out directly, and violating it can trigger a manual action.
Entering a fake rating just to unlock stars. A ratingValue and reviewCount that don't come from real reviews are against Google's guidelines, not just risky - this is exactly why this tool only outputs aggregateRating when you've filled in both fields.
Letting dateModified and ratings go stale. Structured data isn't "set and forget" - update it when the content it describes changes.
Expecting a guaranteed FAQ or HowTo rich result. Google significantly reduced how often both appear in search in August 2023 - FAQ rich results are now largely limited to well-known government and health sites. The schema is still valid and still useful for AI answer engines; it's the SERP display specifically that's no longer reliable for most sites.
Inconsistent business details across pages. If LocalBusiness schema lists a different phone number or address on two pages, it undermines the exact consistency search engines use to trust an entity.
Broken JSON syntax. A trailing comma or an unescaped quotation mark, introduced by hand-editing afterward, can silently invalidate the entire block. Re-check with the validator after any manual edit.
Expert Recommendations
Start with the types that map to what's literally on the page - don't add Product schema to a page with no price or Recipe schema to a page with no ingredients, speculatively.
Keep Organization, WebSite, and BreadcrumbList consistent site-wide - they describe the site itself, not one page, so it's worth building them once and reusing the same values everywhere.
Re-validate after every content edit, not just at launch - a rewritten headline or a removed image can quietly turn a green checklist row red.
Prioritize Product, LocalBusiness, JobPosting, Recipe, and Event where the rich-result payoff is real and current; treat FAQPage and HowTo more as an AEO/entity-clarity investment than a guaranteed SERP feature, given the 2023 policy change.
Treat schema markup as one item on a technical SEO checklist, not the whole checklist - it can't compensate for slow pages, weak content, or crawlability problems underneath it.
Related SEO Concepts
JSON-LD vs. Microdata vs. RDFa
All three are ways to write schema.org markup. JSON-LD is a standalone script block; Microdata and RDFa are attributes added directly inside the HTML elements they describe. Google supports all three but recommends JSON-LD specifically because it's easier to implement and maintain without touching visible markup.
Rich Results vs. Search Console's Enhancement Reports
The Rich Results Test checks one URL on demand. Search Console's Enhancement reports (under the same "structured data" umbrella) show, at scale, which schema Google has actually detected across your whole site and whether it found errors - the two are complementary, not interchangeable.
Knowledge Graph & Knowledge Panels
Organization, Person, and LocalBusiness schema are among the signals that help Google connect a website to an entity in its Knowledge Graph, which can surface as a Knowledge Panel for well-established brands and public figures.
As AI chat and search tools summarize and cite web content directly, unambiguous structured facts become part of how confidently they can quote a page. This is the same category of signal AudEsto's audit engine scores under its AEO checks, alongside on-page and technical SEO.
Limitations and Important Considerations
Everything runs client-side. Nothing you type into the builder or paste into the validator is transmitted to AudEsto's servers or anywhere else.
Passing the checklist doesn't guarantee a rich result. Google's own documentation is explicit that eligibility also depends on its algorithms and general content quality, and can change without any code change on your part.
FAQPage and HowTo rich results were significantly scaled back by Google in August 2023; the schema itself is still valid and still worth adding for entity clarity and AI answer engines, just without a reliable SERP payoff for most sites.
The validator's checklist is a property-presence check, not a full Rich Results simulation - it confirms a documented property exists, not that its value is well-formed (a badly formatted date will still show as "present").
Schema markup won't fix problems it doesn't touch - crawl errors, thin content, slow pages, or a poor internal link structure. It's one item in a full technical and on-page SEO audit, not a substitute for one.
Frequently Asked Questions
A schema markup generator is a tool that assembles a valid JSON-LD structured data block from a set of form fields, instead of you writing the nested schema.org syntax by hand. This one runs entirely in your browser: pick a schema.org type, fill in the fields, and it builds the script tag as you go, checking it against a property checklist in real time.
Google can read all three formats, but it explicitly recommends JSON-LD where possible because it lives in a single script block, separate from your visible HTML, and is far less likely to break during a template redesign. Microdata and RDFa require adding attributes directly inside the HTML elements they describe, which is harder to maintain. This generator only outputs JSON-LD.
No. Valid schema markup makes a page eligible for a rich result - it does not guarantee one will be shown. Google's own documentation is explicit that displaying any given rich result also depends on its own algorithms and general content quality guidelines, and eligibility can change without a code change on your part. Some rich result types have also been scaled back over time; FAQ rich results, for example, are now largely limited to well-known government and health websites.
Paste the full script tag - the one starting with <script type="application/ld+json"> - anywhere in the page's HTML, most commonly inside <head> or just before the closing </body> tag. Most CMS platforms (WordPress, Shopify, Webflow) also have a custom code or header/footer scripts field where you can paste it without editing template files directly.
Yes, and it's common practice - a single blog post might reasonably carry Article, BreadcrumbList, and Organization schema at once. Use this tool's Add to Export Stack option to build several types in one session and export them together as one combined script tag containing a JSON array.
Required properties are the minimum Google's documentation says a type needs before it will even be considered for a rich result - skip one and the markup is typically ignored for that feature. Recommended properties aren't mandatory, but filling them in produces a more complete, more informative rich result when one is shown. Both are still optional as far as valid JSON syntax goes; the labels describe what Google expects, not what JavaScript requires.
Copy the generated code, then paste it into Google's Rich Results Test (search.google.com/test/rich-results) using its Code snippet tab, or use Schema.org's own Validator to check general JSON-LD syntax. After publishing, Search Console's Enhancements reports show which structured data Google has actually detected and whether it found any errors or warnings on the live page.
Not directly. Google has stated structured data is not itself a ranking factor. Its value is indirect: it can unlock a rich result (star ratings, a FAQ dropdown, a recipe card) that makes your listing more prominent and can improve click-through rate at the same ranking position, and it gives search engines and AI answer engines an unambiguous description of your content, which is a diagnostic and entity-understanding signal rather than a scoring one.
Yes, it's free with no account required. Both the generator and the validator run entirely in your browser using JavaScript - the field values you enter and any JSON-LD you paste into the validator are never transmitted to AudEsto's servers or anywhere else.
A generator builds new structured data from a blank form. A validator checks structured data that already exists - usually because it was hand-written, exported from a plugin, or inherited from a theme - for valid JSON syntax and for which properties of its detected type are present. This tool includes both: a builder for new schema, and a paste-and-check panel for auditing what you already have.